Solving convex optimization with side constraints in a multi-class queue by adaptive cμ rule

We study convex optimization problems with side constraints in a multi-class M/G/1M/G/1 queue with controllable service rates. In the simplest problem of optimizing linear costs with fixed service rate, the cμ rule is known to be optimal. A natural question to ask is whether such simple policies exi...

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Bibliographic Details
Main Authors: Li, Chih-ping (Contributor), Neely, Michael J. (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Springer US, 2016-08-30T19:45:26Z.
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